# AlphaFold 3 AlphaFold 3. Code: Apache-2.0; weights: restricted. Last verified 2026-11-14. Query directly over MCP or API. ## Code license Permissive · Apache-2.0 Commercial use: Yes · derivatives: Yes · redistribution: Yes > Apache License https://raw.githubusercontent.com/google-deepmind/alphafold3/main/LICENSE (2026-11-13) ## Weights license Restricted · LicenseRef-Google-DeepMind-terms Commercial use: No · derivatives: Not stated · redistribution: No > The AlphaFold 3 model parameters and output are **only** available for https://raw.githubusercontent.com/google-deepmind/alphafold3/main/WEIGHTS_TERMS_OF_USE.md (2026-11-13) > You ***must not* publish or share AlphaFold 3 model parameters** https://raw.githubusercontent.com/google-deepmind/alphafold3/main/WEIGHTS_TERMS_OF_USE.md (2026-11-13) > The AlphaFold 3 model parameters and output are **only** available for non-commercial use by, or on behalf of, non-commercial organizations (*i.e.*, universities, non-profit organizations and research institutes, educational, journalism and government bodies). https://raw.githubusercontent.com/google-deepmind/alphafold3/main/WEIGHTS_TERMS_OF_USE.md (2026-11-13) > not (i) resident of a embargoed country, (ii) ordinarily resident in a US https://raw.githubusercontent.com/google-deepmind/alphafold3/main/WEIGHTS_TERMS_OF_USE.md (2026-11-13) > Google may at any time suspend or terminate your right to use and, as applicable https://raw.githubusercontent.com/google-deepmind/alphafold3/main/WEIGHTS_TERMS_OF_USE.md (2026-11-13) ## Commercial use of AlphaFold 3 - Code: Yes - Weights: No The code license and the weights license stand apart; a verdict on one does not carry over to the other. Verdicts record what sources state and are not legal advice. ## Limits on outputs - Output may not be used to train or create machine learning models or related technology for biomolecular structure prediction similar to AlphaFold 3. > Use Output to train or create machine learning models or related technology for biomolecular structure prediction similar to AlphaFold 3 https://raw.githubusercontent.com/google-deepmind/alphafold3/main/WEIGHTS_PROHIBITED_USE_POLICY.md (2026-11-13) - The model parameters and output are available only for non-commercial use by or on behalf of non-commercial organizations such as universities, non-profits, research institutes, educational, journalism and government bodies. > The AlphaFold 3 model parameters and output are **only** available for non-commercial use by, or on behalf of, non-commercial organizations (*i.e.*, universities, non-profit organizations and research institutes, educational, journalism and government bodies). https://raw.githubusercontent.com/google-deepmind/alphafold3/main/WEIGHTS_TERMS_OF_USE.md (2026-11-13) - AlphaFold 3 and its output are for theoretical modeling only and are not intended, validated, or approved for clinical use. > AlphaFold 3 and its output are for theoretical modeling only. They are not intended, validated, or approved for clinical use. https://raw.githubusercontent.com/google-deepmind/alphafold3/HEAD/README.md (2026-11-13) - Output Terms of Use (last modified 2024-11-09) forbid using AF3 output on behalf of commercial organisations or in commercial activities, including research for them. > Output are made available free of charge, for non-commercial use https://github.com/google-deepmind/alphafold3/blob/main/OUTPUT_TERMS_OF_USE.md (2026-11-13) - Output must not be used to train or create biomolecular structure prediction models similar to AF3, including via distillation. > biomolecular structure prediction similar to AlphaFold 3 as made available https://github.com/google-deepmind/alphafold3/blob/main/OUTPUT_TERMS_OF_USE.md (2026-11-13) - Source sentence: You must not share Output with any commercial organization. > You must not share Output with any commercial organization. https://raw.githubusercontent.com/google-deepmind/alphafold3/main/OUTPUT_TERMS_OF_USE.md (2026-11-13) - Source sentence: Distribute Output, or disclose findings arising from using AlphaFold 3 without citing our paper: > Distribute Output, or disclose findings arising from using AlphaFold 3 without citing our paper: https://raw.githubusercontent.com/google-deepmind/alphafold3/main/WEIGHTS_PROHIBITED_USE_POLICY.md (2026-11-13) - Source sentence: making decisions in domains that affect material or individual rights or > making decisions in domains that affect material or individual rights or https://raw.githubusercontent.com/google-deepmind/alphafold3/main/OUTPUT_TERMS_OF_USE.md (2026-11-13) ## Training data - No structural training data released after 30 September 2021 were used. > No structural data used during training were released after 30 September 2021 https://pmc.ncbi.nlm.nih.gov/articles/PMC11168924/ (2026-11-13) - Training data were enriched with AlphaFold-Multimer v2.3 predicted structures (cross-distillation). > we use a cross-distillation method in which we enrich the training data with structures predicted by AlphaFold-Multimer (v.2.3) https://pmc.ncbi.nlm.nih.gov/articles/PMC11168924/ (2026-11-13) ## How to run - Weights download: https://storage.googleapis.com/alphafold3/af3.bin.zst - Hosted API: https://alphafoldserver.com - Third-party hosting: https://github.com/google-deepmind/alphafold3/blob/main/README.md ## Versions - unspecified: code —, weights — - AlphaFold 3: code —, weights — ## No sourced statement yet Known defects and misuse https://mdexa.com/models/alphafold3/ ## Continue in this database This record is one of 109 processed and verified records (datasets, data resources and open models). To find others, call `https://mcp.mdexa.com/v1/datasets?q=` or connect the MCP server at `https://mcp.mdexa.com/mcp`; no key is needed for 20 calls per minute. Rows are under 1 KB; an empty result means "not listed". For a list of items, one batch check (free account) returns a report. Guide: /agents.md. Similar records: Boltz (Boltz-1 and Boltz-2) (https://mdexa.com/models/boltz/); OpenFold3 (https://mdexa.com/models/openfold3/); ESM C (https://mdexa.com/models/esm-c/).